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Three bottlenecks kill most SaaS implementations. I've watched it happen dozens of times. The pattern is so predictable, it's almost comical. Except when you're the one explaining to leadership why your go-live date just moved three months to the right. Here's what always goes wrong: 1. 𝗗𝗮𝘁𝗮 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻: 𝗠𝗼𝘃𝗶𝗻𝗴 𝗘𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 (𝗜𝗻𝗰𝗹𝘂𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗝𝘂𝗻𝗸) The Problem: • Clients want everything migrated - every email from 2003, every customer note that says "called, no answer" • Data feels like security, but 80% of historical data never gets used again • Teams spend weeks building custom scripts to move records that sit untouched for years The Reality "𝘐𝘵'𝘴 𝘭𝘪𝘬𝘦 𝘮𝘰𝘷𝘪𝘯𝘨 𝘩𝘰𝘶𝘴𝘦𝘴 𝘢𝘯𝘥 𝘪𝘯𝘴𝘪𝘴𝘵𝘪𝘯𝘨 𝘰𝘯 𝘱𝘢𝘤𝘬𝘪𝘯𝘨 𝘦𝘷𝘦𝘳𝘺 𝘮𝘢𝘨𝘢𝘻𝘪𝘯𝘦 𝘺𝘰𝘶'𝘷𝘦 𝘦𝘷𝘦𝘳 𝘰𝘸𝘯𝘦𝘥 "𝘫𝘶𝘴𝘵 𝘪𝘯 𝘤𝘢𝘴𝘦." 2. 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: 𝗪𝗵𝗲𝗻 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝗗𝗼𝗻'𝘁 𝗧𝗮𝗹𝗸 The Problem: • Your CRM doesn't talk to your helpdesk • Your helpdesk doesn't talk to your billing system • Everyone speaks a different language The Options (Both not ideal): • Marketplace solutions work sometimes • Custom integrations work better but take forever to scope, build, and test. • Meanwhile, your team manually copies data between systems like it's 1995 3. 𝗖𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗮𝘁𝗶𝗼𝗻: 𝗧𝗵𝗶𝗻𝗴𝘀 𝗞𝗲𝗲𝗽 𝗖𝗵𝗮𝗻𝗴𝗶𝗻𝗴 What Should Happen: Map their old process to the new tool. Simple, right? What Actually Happens: • Three weeks into configuration, someone remembers they need approval workflows for purchases over $500 in the Northeast region only • The VP decides to completely restructure how they handle customer escalations • Back to square oneHow We're Solving This At saasgenie, we're tackling these head-on with AI-powered accelerators: • 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗗𝗮𝘁𝗮 𝗺𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 that connect two systems, map fields intelligently, and transfer records live - no custom scripts required • 𝗖𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗮𝘁𝗶𝗼𝗻 𝗰𝗼𝗽𝗶𝗹𝗼𝘁 that handle repetitive tasks like uploading incident templates and creating service request items, so solution architects can focus on complex business logic that actually matters 𝗧𝗵𝗲 𝗴𝗼𝗮𝗹 𝗶𝘀𝗻'𝘁 𝘁𝗼 𝗲𝗹𝗶𝗺𝗶𝗻𝗮𝘁𝗲 𝗵𝘂𝗺𝗮𝗻 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲. It's to free up smart people to solve interesting problems instead of writing their thousandth data mapping script. If you're leading professional services or IT implementations, what's your biggest bottleneck right now? Are you seeing the same patterns, or is your pain point somewhere else entirely?